Triple
T23915235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Wines and Wine of Kings |
E602064
|
entity |
| Predicate | impliesRanking |
P86403
|
FINISHED |
| Object | Barolo is superior to most other wines |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Barolo is superior to most other wines | Statement: [King of Wines and Wine of Kings, impliesRanking, Barolo is superior to most other wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impliesRanking Context triple: [King of Wines and Wine of Kings, impliesRanking, Barolo is superior to most other wines]
-
A.
impliesRankingAs
chosen
Indicates that one entity suggests, infers, or leads to the assignment of a particular ranking or ordered status to another entity.
-
B.
rankingScope
Indicates the context or domain within which a ranking is defined, interpreted, or applied.
-
C.
rankIn
Indicates the relative position or level an entity holds within an ordered set, hierarchy, or competitive context.
-
D.
usesRank
Indicates that one entity applies or relies on a ranking or ordered level system associated with another entity.
-
E.
hasRankingFactor
Indicates that one entity contributes as a factor to determining the ranking or ordered position of another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce9917808190ad66a4e276a24b3d |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:40 p.m.